# Senior Machine Learning Engineer - GenAI Platform

**Company**: Databricks
**Location**: San Francisco, California
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $166,000-$225,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/6954585002
**Canonical**: https://yubhub.co/jobs/job_16efb0ec-9c9

## Description

We are hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building.

As a senior machine learning engineer, you will play a key role in the end-to-end design and implementation of our product, which is a platform for powering use cases across training and serving of generative AI models. You will work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform.

Key responsibilities include:

- Designing and building the core platform infrastructure that supports our customer-facing product features

- Ensuring the reliability, security, and scalability of the backend distributed systems that power all aspects of our product

- Translating product requirements into user interfaces and backend distributed system design and owning end-to-end implementation

We look for:

- 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++

- Strong sense of distributed systems design and experience building large-scale systems

- Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving

- Direct experience developing ML models is a plus but not required

- Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability

- Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

## Skills

### Required
- Python
- Scala
- Go
- C++
- Distributed systems design
- Large-scale system building
- ML platform systems
- Data preparation
- Model training
- Model evaluation
- Model serving